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Policy-Based Adaptation of Context Provisioning in AmI

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 376))

Abstract

With the increasing openness and complexity introduced by recent Ambient Intelligence application domains (e.g. Web-of-Things, Sensing-as-a-Service), adaptation of Context Provisioning becomes a key issue. However, methods to easily specify and engineer such mechanisms remain insufficiently explored. In this work we present and evaluate our approach of using semantic-web and multi-agent technologies to define and execute context provisioning policies within our Context Management Middleware called CONSERT.

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Notes

  1. 1.

    http://purl.org/net/consert-core-ont, http://purl.org/net/consert-annotation-ont, http://purl.org/net/consert-constraint-ont.

  2. 2.

    http://purl.org/net/consert-provisioning-ont/control, http://purl.org/net/consert-provisioning-ont/sensing.

  3. 3.

    http://spinrdf.org/.

  4. 4.

    http://www.fipa.org/.

  5. 5.

    http://adeleresearchgroup.github.io/iCasa/.

  6. 6.

    http://www.w3.org/TeamSubmission/turtle/.

References

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Correspondence to Alexandru Sorici .

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© 2015 Springer International Publishing Switzerland

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Sorici, A., Picard, G., Boissier, O., Florea, A. (2015). Policy-Based Adaptation of Context Provisioning in AmI. In: Mohamed, A., Novais, P., Pereira, A., Villarrubia González, G., Fernández-Caballero, A. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing, vol 376. Springer, Cham. https://doi.org/10.1007/978-3-319-19695-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-19695-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19694-7

  • Online ISBN: 978-3-319-19695-4

  • eBook Packages: EngineeringEngineering (R0)

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